Dr.Eng

No

Digital Image Processing and Recognition

00years10months

　I am conducting research on computer image processing and recognition. I have studied the problems of motion detection and reconstruction of 3D depth information by matching multiple images, as well as the extraction and clustering of color information using the Fuzzy Hough transform. In recent years, we have been studying image quality improvement processing methods, especially image enhancement and high-resolution processing, from various perspectives, and the image quality evaluation methods before and after processing, which are key to such processing, are also a major theme of our research.
In the process of increasing image resolution and improving image quality, the image enlargement and interpolation process, which is called super-resolution image processing, is indispensable for TVs, etc., where high resolution is rapidly advancing. In 2020, we started working on the generation of high-resolution images using machine learning. In particular, as a method to generate a clear high-resolution face image from a very low-resolution face image, we are researching a method to control the generated image by adding so-called attribute information such as gender, age, and facial expression. The advantage of this method is that it is possible to adjust how the attribute information is applied in a way that is close to human sensation. We are also studying a machine learning method for super-resolution processing of moving images. Compared to super-resolution processing from a single image, the use of information in the time axis direction can be expected to achieve higher resolution with greater precision.


　I am in charge of teaching courses on image processing using computers. I educate students on various types of digital image processing backed by theory, referring to analog signal processing and mathematical knowledge. I also teach programming, which is indispensable for digital image processing, and show through exercises that digital images can actually be processed by programming based on various theories and the effects of such programming.

Research Interests

• Research on high-definition image processing
  keyword : Digital image processing, Super Resolution, Machine Learning, Interpolation, Image enhancement, Tone reproduction
  2019.04.
• Digital Image Improvement
  keyword : Digital image processing, Interpolation, Image enhancement, Tone reproduction
  2016.04～2021.03.
• Digital Image Interporation and Evaluation
  keyword : Digital image processing, Detection, Interpolation, Image Evaluation
  2013.04～2019.03.
• Digital Image Interporation and Evaluation
  keyword : Digital image processing, Detection, Interpolation, Image Evaluation
  2013.04～2017.03.
• Digital Image Processing and Recognition
  keyword : Digital image processing, Detection, Interpolation, Image Evaluation
  2010.04～2014.03.
• Digital Image Processing and Recognition
  keyword : Digital image processing, Recognition, Detection、Interpolation
  2009.04～2011.03.
• Digital Image Processing and Recognition
  keyword : Digital image processing, Recognition, Detection、Interpolation
  2004.04～2010.03.

Academic Activities Membership in Academic Society

• the Institute of Industrial Applications Engineers

Educational Activities